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AssenSAR wake detector

Karakus, Oktay and Achim, Alin 2020. AssenSAR wake detector. University of Bristol. Available at: http://doi.org/10.5523/BRIS.F2Q4T5PQLIX62SV5NTVQ51...

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Abstract

This code implements a method for detecting ship wakes in synthetic aperture radar (SAR) images of the sea surface. The method is based on a linear model assumption for the wakes and hence the Radon transform is employed, within an inverse problem formulation, for detecting the wakes. The cost function associated with the image formation model includes a sparsity enforcing penalty, i.e., the generalized minimax concave (GMC) function. Despite being a nonconvex function, the GMC penalty allows the overall cost function to remain convex. The proposed solution is based on a Bayesian formulation, whereby the point estimates are recovered using a maximum a posteriori (MAP) estimation.

Item Type: Dataset
Date Type: Published Online
Status: Published
Schools: Computer Science & Informatics
Publisher: University of Bristol
Last Modified: 22 Dec 2021 09:37
URI: https://orca.cardiff.ac.uk/id/eprint/145198

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